Breaking trail in the Northwest Territories: a qualitative study of Indigenous Peoples’ experiences on the pathway to becoming a physician
Bibliographic record
Abstract
Currently, there is a lack of Indigenous physicians in the Northwest Territories (NWT), Canada. The goal of this qualitative study was to explore the underlying factors that influence the journey to becoming a medical doctor and returning home to practice for Indigenous students from the NWT. Eight qualitative, semi-structured interviews were conducted by phone or in-person. Participants represented Dene, Inuvialuit and Métis from the NWT and were at varying points in their journey into careers in medicine, from undergraduate university students through to practicing physicians. The main themes identified included access to high-school courses, the role of guidance counsellors, access to mentors and role models, a need to prioritise clinical experience in the NWT, influences of family and friends, diversity and inclusion, and finances. Interpretations: Significant barriers, some insurmountable, remain at every stage of the journey into medicine for aspiring Indigenous medical doctors from the NWT. These findings can inform policy development for pathway program that assist aspiring Indigenous physicians at each stage.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.007 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.021 | 0.012 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".